SAS® Predictive Modeling Workbench for SAP HANA

Simplify and accelerate the predictive modeling life cycle

We've integrated industry-leading SAS® Analytics with the SAP HANA platform to speed up the entire analytical life cycle – from preparing and exploring data to developing, deploying and monitoring models. Pushing analytic processing closer to the data helps you extract valuable insights fast. Need big data analytics to solve complex problems quickly? High-performance analytic capabilities are available as an add-on.

Benefits

Boost the efficiency of your predictive analytical life cycle.

Running our proven advanced analytics algorithms on SAP HANA means greater efficiency and productivity for a variety of users – from the data management team that preps the data, to the data scientist who explores data relationships and develops the model, to the IT group that deploys and executes the model.

Discover new insights for solving real problems.

Don’t just depend on decision trees. Try ensembles or support vector machine models to find the best solution to gain competitive advantage. We provide the widest array of industry-proven statistical, data mining and machine-learning algorithms available for building predictive and descriptive models.

Simplify your IT landscape, and treat models as high-value assets.

Your analytics infrastructure shouldn't get in the way of your modeling processes. Reduce data movement by bringing analytics to the data – not the other way around. SAS and SAP HANA together can cost-effectively scale to meet diverse, future workloads. Plus, you can manage and continuously monitor model performance to ensure ongoing accuracy and usefulness.

Add high performance to your analytical life cycle.

As an add-on, SAS High-Performance Predictive Modeling Workbench enables you to quickly execute analytical models in a distributed, in-memory environment. You can now run more complex algorithms, quickly add new variables and perform more modeling iterations to produce better insights and make timely decisions.